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Benchmarketing can mean using relevant comparisons to improve marketing—or presenting benchmark results selectively to make a product look better. For marketing teams, the useful approach is to start with a business goal, compare against a genuinely similar cohort, and test whether a change improves the organization’s own results.
What is benchmarketing?
“Benchmarketing” is an uncommon term with more than one recorded meaning. In marketing strategy, it generally means comparing an organization’s marketing performance with industry practices or other relevant results, then using the comparison to identify improvements. Kirk Donlan, Product Marketing Manager at SAP Engagement Cloud, describes it as comparing performance with industry best practices to identify gaps and set goals; that is a vendor-authored explanation, not a universal standard definition. SAP Engagement Cloud’s guide to benchmarketing was published July 12, 2024.
The term is also used critically for promoting a product with selectively chosen or unrepresentative benchmark results. That usage reflects a broader problem with benchmarks: a number can be accurate for one test and still be misleading when presented as evidence of general superiority. Kevin Webber discusses this issue in “Ethical Benchmarks and The Texas Sharpshooter.”
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Why compare marketing performance with benchmarks?
A channel metric such as click-through rate, cost per lead, or email opens describes one part of marketing activity. On its own, it does not show whether marketing is advancing a business objective. A benchmark can add context: it may help identify an area worth investigating, challenge an assumption, or suggest a test. It cannot tell you, by itself, whether a campaign is profitable or whether a different organization’s result is attainable in your circumstances.
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Start from the outcome the organization needs—such as revenue growth, pipeline, lead generation, or conversion—and select measures that connect marketing activity to that outcome. Channel-level metrics can still help diagnose performance, but they should not replace the business result you are trying to improve.
How to benchmark marketing performance
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Choose a business objective
State the result the team is trying to influence. Make it specific enough to guide a decision, such as improving qualified pipeline or increasing conversions from a defined campaign.
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Choose aligned KPIs
Use a small set of measures that link activity to the objective. Pair diagnostic indicators, such as engagement or cost per lead, with an outcome measure such as qualified opportunities or conversions when appropriate.
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Set your baseline and comparison cohort
Record your own results for a defined period and make sure the metric is consistently defined. Then find external or historical comparisons that resemble your context. A benchmark is not meaningful simply because it is labeled an industry average.
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Identify a tactic to test
Use a gap as a question, not an automatic instruction. If a comparison suggests an opportunity, form a hypothesis about a change—such as adjusting audience targeting or a landing page—and decide what result would support or reject it.
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Track results and review
Measure the test against your baseline and business objective over a period that fits the campaign. Review on a sensible schedule, account for changes in conditions, and revise the tactic or comparison if the evidence does not hold up.
How to tell whether a benchmark is comparable
Before treating a benchmark as a useful reference point, check whether the underlying situations and measurements match yours. BenchMarketing’s vendor page lists several of these contextual dimensions; use them as a practical checklist, not as independent validation of that company’s dataset. BenchMarketing’s marketing benchmarks and competitive insights page describes its own product and data approach.
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- Industry and business model: A consumer subscription business, a retailer, and a business-to-business sales organization may have different funnels and buying cycles.
- Platform and campaign type: Compare like channels, placements, audience types, and campaign objectives rather than combining unlike activity.
- Conversion event: Check whether the result measures a click, lead, purchase, qualified opportunity, or another action.
- Attribution model: Determine how credit is assigned across channels and touchpoints. Different attribution methods can produce different channel results.
- Geography and time period: Markets, seasonality, and timing can affect performance. Check the location covered and when the observations were collected.
- Sample and statistic: Ask how the sample was constructed and whether the reported value is a mean, median, percentile, or modeled estimate. These describe different things, and a mean can be affected by extreme values.
If a source does not explain a key dimension, treat its number as a weak reference rather than a target. BenchMarketing’s statements about its public library, data sourcing, integrations, and subscriptions are claims about its own service; they are not independent confirmation of benchmark quality.
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How marketing benchmarks can mislead
Cherry-picked periods or workloads
A result selected from a favorable campaign, time window, or test setup may not represent typical performance. Ask whether the result covers a representative period and whether the method for selecting examples is explained.
Unmatched configurations
Results from campaigns with different audiences, budgets, platforms, or measurement setups are not clean comparisons. A difference may reflect those conditions rather than the tactic or product being promoted.
A single metric presented as overall performance
Strong performance on one measure does not establish broad superiority. A campaign can improve clicks while producing fewer qualified leads, for example. Read the claim at the level of the measurement actually reported.
Trade-offs left out
Look for outcomes that could offset a headline gain, including cost, lead quality, conversion downstream, or the effort required to achieve the result. A benchmark that omits relevant trade-offs may not answer the business question.
Use a benchmark to guide a decision, not dictate a target
There is no independently verified, general marketing benchmark statistic established here as a norm across industries and campaign types. Treat published figures as context only when their definitions, cohort, period, and method are clear. The useful decision rule is simple: use a relevant comparison to decide what to investigate or test, then judge the result against your own business objective and data.
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